Sexual Debut

Opposite-Sex Contact

(var = hadsex)

Overall

Ever
In Last Year

Comparison

By Birth Cohort

Same Sex Contact

Overall

By Sex

By Birth Cohort

By Opposite-Sex Contact

SS Contact Only

Sexual Debut - Probability by Age

age 14 = those who debuted before or at age 14 age 100 = those who have never debuted w/ opposite sex

go back and remind myself how “agefsex”

Age Dist of Never Sex

Distribution at Cross-Section

what proportion of all rels are marriages, cohabs, others at cross-section?

Relationship Transitions

Other to Cohab

time between rel start and cohabitation

Current Cohabs or Marriages

(marraiges who cohabitated premaritally)

Current Cohabs ONLY

Cohab to Marriage

Other to Marriage

Relationship Length

mean of active relationships (where we assume exponential dist) plus estimates from survival analysis (using all reported relationships), exponential model fit

Counterfactual Networks

Transition Networks

Pseudo-Population Size

pavel recommends: “For weighted data the pseudo-populations size should be at least \(1 * sampleSize/smallestWeight\) (or \(3 * sampleSize/smallestWeight\) to be safe), or 1000 (whichever is larger).”

summary of NSFG weights:

summary(egodat$egos$weight)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    38.7  2706.6  5199.6  8496.8 10138.2 85207.9

NSFG sample size: 43303

ppize for \(1 * sampleSize/smallestWeight\) = 1119

ppize for \(3 * sampleSize/smallestWeight\) = 3357

so round up to an even 3500 for estimation?

when ppop = 3500, you get actual ppop of ~500
and when ppop = 5000 you get actual pop of ~990 why?

Age-Sex-Specific Mortality Rates

raw data pulled from The National Vital Statistics Report Life Tables for 2017